Výsledky vyhľadávania - conventional autoencoder-model verification

Lightweight Multi-Class Autoencoder Model for Malicious Traffic Detection in Private 5G Networks.

Autori: Kim, Jinha Na, Seungjoon Kim, Hwankuk

Zdroj: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p12242, 25p

Predmety: 5G networks, AUTOENCODERS, SERVICE level agreements, REAL-time computing, RESOURCE allocation, CLASSIFICATION algorithms, COMPUTER network traffic, TRAFFIC monitoring

Lightweight Multi-Class Autoencoder Model for Malicious Traffic Detection in Private 5G Networks

Autori: Jinha Kim Seungjoon Na Hwankuk Kim

Zdroj: Applied Sciences, Vol 15, Iss 22, p 12242 (2025)

Predmety: private 5G network, network slicing, network security, autoencoder, SLA, multi-class, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/22/12242; https://doaj.org/toc/2076-3417

Prístupová URL adresa: https://doaj.org/article/9ea0cace4bb1491a9f8152b3b8251976

Dual-verification-based model fingerprints against ambiguity attacks: Dual-verification-based model...: B. Zhao et al.

Autori: Zhao, Boyao Chen, Haozhe Zhang, Jie a ďalší

Zdroj: Cybersecurity (2523-3246); 12/23/2024, Vol. 7 Issue 1, p1-18, 18p

Predmety: INTELLECTUAL property infringement, ARTIFICIAL intelligence, IMAGE processing, AMBIGUITY, POPULARITY

Forecasting Data-Driven Performance: Learning-based Data Manipulation Detection System.

Autori: Cheng-Shian Lin Sin-Man Wong Chien-Chang Chen

Zdroj: International Journal of Performance Measurement; Jun2025, Vol. 15 Issue 1, p58-78, 21p

Predmety: LONG short-term memory, AUTOENCODERS, TIME series analysis, RELIABILITY in engineering, ANOMY

High-Resolution Daily XCH 4 Prediction Using New Convolutional Neural Network Autoencoder Model and Remote Sensing Data.

Autori: Awad, Mohamad M. Homayouni, Saeid

Zdroj: Atmosphere; Jul2025, Vol. 16 Issue 7, p806, 18p

Predmety: ATMOSPHERIC methane, CONVOLUTIONAL neural networks, ENVIRONMENTAL degradation, CLIMATE change, INTERPOLATION, ENVIRONMENTAL monitoring, REMOTE sensing

ADEQUACY AND VERIFICATION OF AN INTELLIGENT DIAGNOSTIC MODEL FOR SHIP POWER PLANTS.

Alternate Title: АДЕКВАТНІСТЬ ТА ВЕРИФІКАЦІЯ ІНТЕЛЕКТУАЛЬНОЇ ДІАГНОСТИЧНОЇ МОДЕЛІ СУДНОВИХ ЕНЕРГЕТИЧНИХ УСТАНОВОК (Ukrainian)

Autori: Vychuzhanin, V. V. Vychuzhanin, А. V.

Zdroj: Informatics & Mathematical Methods in Simulation / Informatika ta Matematičnì Metodi v Modelûvannì; 2025, Vol. 15 Issue 3, p312-326, 15p

Predmety: MACHINE learning, CONDITION-based maintenance, BAYESIAN analysis, CASE-based reasoning, FAILURE analysis, OPERATIONAL risk

A Survey of Finger-vein Recognition using Deep Learning: Concepts, Challenges, and Opportunities.

Autori: KOCAKULAK, Mustafa AVCI, Adem ACIR, Nurettin

Zdroj: Journal of Engineering & Smart Systems; 2025, Vol. 13 Issue 3, p71-93, 23p

Predmety: CONVOLUTIONAL neural networks, CONCEPT learning, RESEARCH personnel, DEEP learning, BIOMETRY, RECOGNITION (Psychology)

Wind Turbine Fault Detection Through Autoencoder-Based Neural Network and FMSA.

Autori: Nogueira, Welker Facchini Melani, Arthur Henrique de Andrade de Souza, Gilberto Francisco Martha

Zdroj: Sensors (14248220); Jul2025, Vol. 25 Issue 14, p4499, 41p

Predmety: WIND turbines, AUTOENCODERS, OUTLIER detection, CONDITION-based maintenance, FAILURE analysis, CLEAN energy, ARTIFICIAL neural networks, FAULT diagnosis

A point cloud-based mesh-independent convolutional neural network frameworks for flow field prediction on variable geometries.

Autori: Hwang, Wontae Kim, Sooyoung Park, Donghyun a ďalší

Zdroj: Physics of Fluids. May2025, Vol. 37 Issue 5, p1-19. 19p.

Predmety: *CONVOLUTIONAL neural networks, *COMPUTATIONAL fluid dynamics, *COMPLEX geometry, *TRANSONIC flow, *AUTOENCODERS

A Novel Finger Vein Verification Framework Based on Siamese Network and Gabor Residual Block.

Autori: Yao, Qiong Chen, Chen Song, Dan a ďalší

Zdroj: Mathematics (2227-7390); Jul2023, Vol. 11 Issue 14, p3190, 26p

Predmety: VEINS, GABOR filters, DEEP learning

Age-Invariant Cross-Age Face Verification using Transfer Learning.

Autori: Russel, Newlin Shebiah Selvaraj, Arivazhagan S., Dhanya Devi a ďalší

Zdroj: Inteligencia Artificial: Revista Iberoamericana de Inteligencia Artificial; Dec2024, Vol. 27 Issue 74, p37-47, 11p

Predmety: FEATURE extraction, SKIN aging, SECURITY systems, HISTOGRAMS, SWINE

SIBERIA: A Self-Sovereign Identity and Multi-Factor Authentication Framework for Industrial Access.

Autori: Paredes-García, Daniel Fernández-Carrasco, José Álvaro López, Jon Ander Medina a ďalší

Zdroj: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 15, p8589, 36p

Predmety: MULTI-factor authentication, IDENTITY management systems, INDUSTRIAL security, BIOMETRY, DATA protection, REGULATORY compliance, BLOCKCHAINS

Reconstruction of SMAP Soil Moisture Data Based on Residual Autoencoder Network with Convolutional Feature Extraction.

Autori: Liu, Yaojie Fan, Haoyu Jin, Yan a ďalší

Zdroj: Remote Sensing; Nov2025, Vol. 17 Issue 22, p3729, 32p

Predmety: SOIL moisture, REMOTE sensing, CLIMATE research, FEATURE extraction, AUTOENCODERS, HYDROLOGICAL research, ELECTRONIC data processing, ENVIRONMENTAL research

Geografický termín: CHINA

Deep learning integrated Bayesian health indicator for cross-machine health monitoring.

Autori: Kim, Taewan Lee, Seungchul

Zdroj: Structural Health Monitoring; Nov2024, Vol. 23 Issue 6, p3416-3429, 14p

Predmety: FEATURE extraction, DEEP learning, ROLLER bearings, HEALTH status indicators, MONITORING of machinery

Unsupervised Dual Convolutional Autoencoder Models for Efficient Group Anomaly Detection of HST Bogies via Domain Adversarial Learning.

Autori: Chang, Yuanhong Zhong, Shuncong Pan, Tongyang a ďalší

Zdroj: Journal of Physics: Conference Series; 2025, Vol. 2999 Issue 1, p1-7, 7p

Artificial Intelligence for Enhancing Indoor Air Quality in Educational Environments: A Review and Future Perspectives.

Autori: Romaios, Alexandros Sfikas, Petros Giannadakis, Athanasios a ďalší

Zdroj: Sustainability (2071-1050); Nov2025, Vol. 17 Issue 22, p10117, 35p

A Fuzzy Cognitive Map-based Framework for Alzheimer's Disease Diagnosis Using Multimodal Magnetic Resonance Imaging-Positron Emission Tomography Registration.

Autori: Mahdavi, Seyed Assef Maghooli, Keivan Farokhi, Fardad

Zdroj: Journal of Medical Signals & Sensors; Nov2025, Vol. 15 Issue 11, p1-13, 13p

Predmety: ALZHEIMER'S disease, MAGNETIC resonance imaging, MACHINE learning, COMPUTER-aided diagnosis, BRAIN imaging, DIMENSIONAL reduction algorithms, POSITRON emission tomography, COGNITIVE maps (Psychology)

A Novel Unsupervised Structural Damage Detection Method Based on TCN-GAT Autoencoder.

Autori: Ni, Yanchun Jin, Qiyuan Hu, Rui

Zdroj: Sensors (14248220); Nov2025, Vol. 25 Issue 21, p6724, 27p

Predmety: AUTOENCODERS, STRUCTURAL health monitoring, ONLINE monitoring systems, VIBRATION (Mechanics), SPATIOTEMPORAL processes, GRAPH neural networks, MACHINE learning, DEEP learning

Enhanced Financial Fraud Detection via SISAE‐METADES: A Supervised Deep Representation and Dynamic Ensemble Approach.

Autori: Wang, Chang Fang, Sheng Zhao, Fangsu a ďalší

Zdroj: International Journal of Intelligent Systems; 10/16/2025, Vol. 2025, p1-16, 16p

Predmety: SUPERVISED learning, DEEP learning, FINANCIAL statements, INVESTOR protection, ENSEMBLE learning, INVESTOR confidence, FRAUD investigation

ZenGuard a machine learning based zero trust framework for context aware threat mitigation using SIEM SOAR and UEBA.

Autori: Hassan, Aamina Rauf, Abdul Shafqat, Narmeen a ďalší

Zdroj: Scientific Reports; 10/14/2025, Vol. 15 Issue 1, p1-18, 18p

Predmety: MACHINE learning, ANOMALY detection (Computer security), SECURITY management, INTERNET security